查找 --- Search Insert Position--- 图解

    技术2022-07-11  86

    /********************************************************************************************************** 7.2 Search Insert Position 描述 Given a sorted array and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order. You may assume no duplicates in the array. Here are few examples.     [1,3,5,6], 5 → 2     [1,3,5,6], 2 → 1     [1,3,5,6], 7 → 4     [1,3,5,6], 0 → 0 分析 即 std::lower_bound() **********************************************************************************************************/

    class Solution{ public:     int searchInsert(int A[],int n ,int target){         return lower_bound(A,A + n,target) - A;     } };

    /********************************************************************************************************** 7.3 Search a 2D Matrix 描述 Write an efficient algorithm that searches for a value in an m×n matrix. is matrix has the following properties: • Integers in each row are sorted from le to right. • e first integer of each row is greater than the last integer of the previous row. For example, Consider the following matrix:7.3 Search a 2D Matrix 117 [     [1, 3, 5, 7],     [10, 11, 16, 20],     [23, 30, 34, 50] ] Given target = 3, return true. **********************************************************************************************************/

    class Solution{ public:     bool searchMatrix(const vecotr<vector<int>>& matrix ,int target){         const size_t m = matrix.size();         const size_t n = matrix.front().size();         int first = 0;         int last = m * n;         while(first < last){             int mid = first + (last - first )/2;             int value = matrix[mid /n ][mid %n];             if(value == target)                 return true;             else if(value < target)                 first = mid + 1;             else                 last = mid;         }         return false;     } };

    参考资料:

    LeetCode题解

     

     

     

    Processed: 0.012, SQL: 9